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Field
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Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g
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Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g
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fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
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fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
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. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Engineering / Science, or related field Expertise in robotic system Familiar with ROS1 / ROS2 Good publication track record is an
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backgrounds: Molecular biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and
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PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available at Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems
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surgery and dissection Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics
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skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries. Familiar with Linux OS, virtual environment working and batch scripting. Programming proficiency in R, Python
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neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and